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|Link=https://discord.com/channels/1029514961782849607/1038983225348993184/1054708427399626872 | |Link=https://discord.com/channels/1029514961782849607/1038983225348993184/1054708427399626872 | ||
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== 23-01-31 == | |||
{{Message | |||
|Author=bengo | |||
|Avatar=https://cdn.discordapp.com/avatars/602622661125996545/f01c2d17587b5d9b1542dcf40c7c2e33.png?size=1024 | |||
|Date Sent=23-01-31 16:02:30 | |||
|Channel=computable-graphs | |||
|Text=I've also recently been using logseq. I like how it just writes to markdown. I've been wanting to parse that markdown, look for we--known #hashtags and [[wikitags]], and build an rdf dataset. It looks like SBML is kinda like XML, so maybe something similar is possible there. Have you done anything more with logseq since this post in November? | |||
|Link=https://discord.com/channels/1029514961782849607/1038983137222467604/1070011203939749958 | |||
}} | }} |